Data Scientist (Machine Learning)

Location: Hybrid role based at London Broadcasting House or Salford Dock House, with an average of two days per week in the office.

Salary: £40,000–£50,000 per year, depending on relevant skills, knowledge and experience.

Company

hirify.global is a public service media organisation delivering digital products and content across iPlayer, Sounds, News and Sport.

What you will do

• Apply statistical and machine learning techniques to analyse audience behaviour and answer business questions.
• Combine digital activity data, audience panels and surveys to improve audience measurement and strategic decision-making.
• Design, develop and evaluate analytical models and support production deployment where appropriate.
• Build reproducible analytical workflows and proof-of-concepts using SQL, Python or R.
• Communicate findings, assumptions and recommendations to non-technical stakeholders across the hirify.global.
• Explore developments in machine learning and generative AI and contribute to improved team practices.

Requirements

• Further degree in mathematics, statistics, computer science, econometrics or a related field, or equivalent work experience.
• Strong analytical and problem-solving skills, including the ability to translate ambiguous business questions into practical analytical solutions.
• Understanding of statistical inference, experimental design and causal reasoning.
• Ability to communicate analytical findings clearly and adapt recommendations for different audiences.
• Strong programming skills in Python or R, version control experience with Git or similar, and strong SQL skills for large datasets.

Nice to have

• Experience in commercial, research or consulting analytics.
• Experience with audience, consumer, marketing, media measurement or digital behaviour data.
• Experience building and deploying machine learning models into production.
• Knowledge of software engineering practices such as unit testing, test-driven development and collaborative development with GitHub.
• Experience applying modern AI techniques, including large language models.

Culture & Benefits

• Flexible 35-hour working week and flexible working discussions throughout the application and offer process.
• 25 days of annual leave, with the option to buy an additional five days.
• Defined pension scheme and discounted dental, healthcare and gym benefits.
• Career and professional development opportunities, including dedicated time for technical skills development.
• Inclusive, values-based working environment with a focus on belonging and equal opportunity.

Hiring process

• Applications are accepted online only; CV applications are not accepted.
• Offers are conditional on employment screening, including reference and eligibility-to-work checks.